AI-Rad Companion Brain MR

Siemens Healthineers

AI-Rad Companion Brain MR performs an automatic segmentation of the different brain areas, including an individual volumetric analysis. It compares the different volumes to a normative database and automatically generates a highlighted deviation map, so volumetric changes can be monitored. Additionally the brain White Matter Hyperintensities (WMH) feature provides WMH counts, volumes and locations.

The AI-Rad Companion Brain MR lists all measurements including the deviations in a structured report that is automatically sent to the connected PACS system.

Product specifications

Information source: Vendor
Last updated: July 19, 2023

General
Product name	AI-Rad Companion Brain MR
Company	Siemens Healthineers
Subspeciality	Neuro
Modality	MR
Disease targeted	Neurodegenerative disease, Multiple Sclerosis
Key-features	Brain volume quantification, segmentation, normative comparison, white matter hyperintensities, report generation
Suggested use	During: perception aid (prompting all abnormalities/results/heatmaps)
Data characteristics
Population	All brain MR
Input	T1-weighted MPRAGE image series, Single-frame data format and T2-weighted 3D FLAIR image for WMH
Input format	DICOM
Output	Image annotations, Report with table of results, Label Map, Deviation Map, Volumetric report
Output format	DICOM
Technology
Integration	Integration in standard reading environment (PACS), Integration via AI marketplace or distribution platform, Stand-alone webbased
Deployment	Hybrid solution
Trigger for analysis	Automatically, right after the image acquisition, On demand, triggered by a user through e.g. a button click, image upload, etc.
Processing time	1 - 10 minutes
Certification
CE	Certified, Class IIa , MDR
FDA	510(k) cleared, Class II
Market presence
On market since	05-2020
Distribution channels	Teamplay Digital Health Platform
Countries present (clinical, non-research use)
Paying clinical customers (institutes)
Research/test users (institutes)
Pricing
Pricing model	Subscription
Based on	Number of analyses
Evidence
Peer reviewed papers on performance
Non-peer reviewed papers on performance
Other relevant papers